Abbott
Sr. AI/ML Engineer- Life Sciences
About this role
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION: Position Overview The Sr.AI/MLEngineerguidesthe architecture, technical roadmap, and hands-on implementation of thelife sciencesAI platformproviding the foundations for agentic solutions across the science and medical offices.This role helps shape the organization’s AI strategy and evaluates emerging state-of-the-art technologies for practical implementation within the platform.This role serves both technical consumers intheBioinformatics,Biostatistics and Data Science group,and non-technical consumers across Clinical Affairs, Regulatory Affairs, and Medical Operationswithin a setting of advanced cancer screening and precision oncology.The work combines pragmatic experimentation with a clear path beyond prototypes, producing solutions that are evaluated, validated, governed, supported, and reusable.This role defines the engineering standards, controls, and validation framework under whichgenerativeAI solutions are developed andpublished, andprovides technical leadership through mentorship and architecture review. Essential Duties Include, but are not limited to, the following:
- Guidethe architecture, technical roadmap, and strategic evolution of thelife sciencesgenerativeAI platform, including its runtime, gateway, memory, identity, observability, and evaluation capabilities, to accelerate and improve scientific and medical processes and outcomes.
- Design and implement shared platform services, reusable components, and supported solution patterns that generalize recurring needs and reduce reliance on function-specific point solutions.
- Integrate agent frameworks and interoperability protocols with enterprise data sources, document repositories, and scientific systems using secure, supported platform patterns.
- Partner with stakeholders and AI/ML engineers across science and medical functions to translate operational workflows, SOPs, and business needs into scalable, supported AI solutions.
- Driveplatformadoption bydefining and applying evaluation criteria that demonstrate solution quality, reliability, efficiency, and business value.
- Apply Agile practices to iteratively develop, evaluate, and mature promising concepts into validated, reusable solutions.
- Provide mentorship and coaching to more junior level team members.
- Act as resource and subject matter expert in core team and/or cross-functional meetings.
- Communicate difficult, sensitive, and complex information clearly to technical and non-technical stakeholders.
Preferred Qualifications
- 2+ years of life sciences industry experience working with biological data.
- 2+ years of industry experience in molecular diagnostics, preferably cancer diagnostics.
- Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data.
- Basic knowledge of ML-Ops and processes for managing the versioning and deployment of machine learning models.
- Scientific understanding of cancer biology The base pay for this position is $78,000.00 – $156,000.00In specific locations, the pay range may vary from the range posted. JOB FAMILY: Product DevelopmentDIVISION: ONCO Cancer DiagnosticsLOCATION: United States of America : RemoteADDITIONAL LOCATIONS: WORK SHIFT: StandardTRAVEL: Yes, 5 % of the TimeMEDICAL SURVEILLANCE: Not ApplicableSIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link
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